Senior Product Data Scientist

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Requirements:

• BA in Statistics, Mathematics, Computer Science, or a related quantitative field.
• 3+ years of experience in data science, including experience in product analytics or similar domains.
• Expertise in SQL, Python, and statistical tools/libraries such as NumPy or Pandas.
• Strong understanding of machine learning, statistical modeling techniques, and A/B testing.
• Experience with business intelligence tools such as Tableau, Sigma, or Looker.
• Proven ability to share outcomes through written and verbal communication, including the ability to effectively communicate with both business and technical teams.

Responsibilities:

• Develop and optimize data models and pipelines to support customer-facing analytics and internal decision-making.
• Build self-service tools, dashboards, and visualizations to empower end users and internal stakeholders with actionable insights.
• Partner with data engineers to ensure models are secure, performant, and scalable.
• Provide thought leadership on data science best practices, tools, and methodologies.
• Communicate complex findings effectively to both technical and non-technical audiences through written and visual storytelling.